The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-21"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "8954125 (up from 8791804 yesterday: 1.85 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "468357 (up from 464465 yesterday: 0.84 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 5.23



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2279879 24760 1.10 119969 250 0.21 5.26
Brazil 1085038 52125 5.05 50617 641 1.28 4.66
Russia 583879 7717 1.34 8101 109 1.36 1.39
India 425282 14821 3.61 13699 445 3.36 3.22
United Kingdom 305803 1223 0.40 42717 43 0.10 13.97
Peru 251338 0 0.00 7861 0 0.00 3.13
Spain 246272 334 0.14 28323 1 0.00 11.50
Chile 242355 5607 2.37 4479 184 4.28 1.85
Italy 238499 224 0.09 34634 24 0.07 14.52
Iran 204952 2368 1.17 9623 116 1.22 4.70
France 197008 284 0.14 29643 7 0.02 15.05
Germany 191272 602 0.32 8895 0 0.00 4.65
Turkey 187685 1192 0.64 4950 23 0.47 2.64
Pakistan 181088 4471 2.53 3590 89 2.54 1.98
Mexico 180545 5343 3.05 21825 1044 5.02 12.09
Saudi Arabia 157612 3379 2.19 1267 37 3.01 0.80
Bangladesh 112306 3531 3.25 1464 39 2.74 1.30
Canada 103078 316 0.31 8482 16 0.19 8.23
South Africa 97302 4621 4.99 1930 53 2.82 1.98
Qatar 87369 881 1.02 98 4 4.26 0.11
China 84572 19 0.02 4639 0 0.00 5.49
Colombia 68836 5382 8.48 2353 205 9.54 3.42
Belgium 60550 0 0.00 9696 0 0.00 16.01
Belarus 58505 569 0.98 346 3 0.87 0.59
Sweden 56043 0 0.00 5053 0 0.00 9.02
Egypt 55233 1475 2.74 2193 87 4.13 3.97
Ecuador 50640 909 1.83 4223 67 1.61 8.34
Netherlands 49801 91 0.18 6109 1 0.02 12.27
Indonesia 45891 862 1.91 2465 36 1.48 5.37
United Arab Emirates 44925 392 0.88 302 1 0.33 0.67
Argentina 42785 1581 3.84 1011 19 1.92 2.36
Singapore 42095 262 0.63 26 0 0.00 0.06
Kuwait 39650 505 1.29 326 7 2.19 0.82
Portugal 39133 292 0.75 1530 2 0.13 3.91
Ukraine 37361 746 2.04 1012 8 0.80 2.71
Poland 31931 311 0.98 1356 10 0.74 4.25
Switzerland 31292 49 0.16 1956 0 0.00 6.25
Iraq 30868 1646 5.63 1100 87 8.59 3.56
Philippines 30052 652 2.22 1169 19 1.65 3.89
Oman 29471 905 3.17 131 3 2.34 0.44
Afghanistan 28833 409 1.44 581 12 2.11 2.02
Dominican Republic 26677 899 3.49 662 7 1.07 2.48
Panama 26030 808 3.20 501 8 1.62 1.92
Ireland 25379 5 0.02 1715 0 0.00 6.76
Bolivia 24388 876 3.73 773 33 4.46 3.17
Romania 24045 315 1.33 1512 12 0.80 6.29
Bahrain 21764 433 2.03 63 3 5.00 0.29
Israel 20778 145 0.70 306 1 0.33 1.47
Armenia 20268 560 2.84 350 18 5.42 1.73
Nigeria 20244 436 2.20 518 12 2.37 2.56
Japan 17780 55 0.31 955 0 0.00 5.37
Kazakhstan 17732 507 2.94 120 2 1.69 0.68
Austria 17341 18 0.10 690 2 0.29 3.98
Moldova 14200 247 1.77 473 9 1.94 3.33
Ghana 14154 437 3.19 85 0 0.00 0.60
Guatemala 13145 390 3.06 531 17 3.31 4.04
Serbia 12894 91 0.71 261 1 0.38 2.02
Honduras 12769 463 3.76 363 5 1.40 2.84
Azerbaijan 12729 491 4.01 154 6 4.05 1.21
Denmark 12591 0 0.00 600 0 0.00 4.77
Korea, South 12438 17 0.14 280 0 0.00 2.25
Cameroon 11892 282 2.43 303 2 0.66 2.55
Algeria 11771 140 1.20 845 8 0.96 7.18
Czechia 10498 50 0.48 336 0 0.00 3.20
Morocco 9977 138 1.40 214 1 0.47 2.14
Nepal 9026 421 4.89 23 1 4.55 0.25
Norway 8745 3 0.03 244 0 0.00 2.79
Sudan 8580 0 0.00 521 0 0.00 6.07
Malaysia 8572 16 0.19 121 0 0.00 1.41
Cote d’Ivoire 7492 216 2.97 54 2 3.85 0.72
Australia 7474 13 0.17 102 0 0.00 1.36
Finland 7143 1 0.01 326 0 0.00 4.56
Uzbekistan 6315 162 2.63 19 0 0.00 0.30
Senegal 5888 105 1.82 84 2 2.44 1.43
Congo (Kinshasa) 5826 154 2.72 130 5 4.00 2.23
Tajikistan 5457 58 1.07 52 0 0.00 0.95
North Macedonia 5106 101 2.02 238 5 2.15 4.66
Haiti 5077 0 0.00 88 0 0.00 1.73

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 387936 664 0.17 31125 42 0.14 8.02 19941.64 1599.96 1 in 50
California 178546 3333 1.90 5515 21 0.38 3.09 4518.75 139.58 1 in 221
New Jersey 169142 308 0.18 12939 15 0.12 7.65 19042.83 1456.74 1 in 53
Illinois 136762 658 0.48 6647 22 0.33 4.86 10792.61 524.55 1 in 93
Texas 112944 3363 3.07 2191 8 0.37 1.94 3895.17 75.56 1 in 257
Massachusetts 107061 125 0.12 7857 30 0.38 7.34 15405.56 1130.58 1 in 65
Florida 97291 3494 3.73 3161 17 0.54 3.25 4529.85 147.18 1 in 221
Pennsylvania 85935 345 0.40 6423 4 0.06 7.47 6712.63 501.72 1 in 149
Michigan 67711 166 0.25 6090 3 0.05 8.99 6780.01 609.80 1 in 147
Georgia 64701 892 1.40 2643 1 0.04 4.08 6093.85 248.93 1 in 164
Maryland 64306 350 0.55 3066 14 0.46 4.77 10636.69 507.14 1 in 94
Virginia 57994 551 0.96 1611 4 0.25 2.78 6794.43 188.74 1 in 147
Arizona 52591 2464 4.92 1349 3 0.22 2.57 6906.33 177.15 1 in 145
North Carolina 51390 0 0.00 1215 0 0.00 2.36 4899.85 115.85 1 in 204
Louisiana 49778 393 0.80 3105 1 0.03 6.24 10707.72 667.92 1 in 93
Connecticut 45755 40 0.09 4260 9 0.21 9.31 12833.47 1194.85 1 in 78
Ohio 44808 547 1.24 2700 3 0.11 6.03 3833.31 230.98 1 in 261
Indiana 42423 362 0.86 2540 4 0.16 5.99 6301.49 377.29 1 in 159
Tennessee 35102 656 1.90 526 2 0.38 1.50 5137.00 76.98 1 in 195
Minnesota 32920 453 1.40 1412 8 0.57 4.29 5837.26 250.37 1 in 171
Colorado 30524 191 0.63 1647 0 0.00 5.40 5300.47 286.00 1 in 189
Alabama 30021 472 1.60 839 1 0.12 2.79 6122.75 171.11 1 in 163
Washington 28680 455 1.61 1270 5 0.40 4.43 3766.30 166.78 1 in 266
Iowa 25963 467 1.83 686 5 0.73 2.64 8228.98 217.43 1 in 122
Wisconsin 24819 280 1.14 744 0 0.00 3.00 4262.65 127.78 1 in 235
South Carolina 24661 905 3.81 653 9 1.40 2.65 4789.74 126.83 1 in 209
Mississippi 20641 0 0.00 938 0 0.00 4.54 6935.47 315.17 1 in 144
Missouri 18459 403 2.23 965 0 0.00 5.23 3007.61 157.23 1 in 332
Nebraska 17812 105 0.59 244 0 0.00 1.37 9207.99 126.14 1 in 109
Utah 17462 394 2.31 158 3 1.94 0.90 5446.73 49.28 1 in 184
Rhode Island 16337 0 0.00 894 0 0.00 5.47 15421.56 843.90 1 in 65
Arkansas 15561 419 2.77 225 1 0.45 1.45 5156.36 74.56 1 in 194
Kentucky 13750 120 0.88 526 2 0.38 3.83 3077.66 117.73 1 in 325
Nevada 13240 264 2.03 487 1 0.21 3.68 4298.48 158.11 1 in 233
Kansas 12136 39 0.32 257 1 0.39 2.12 4165.70 88.22 1 in 240
Delaware 10775 94 0.88 435 1 0.23 4.04 11065.31 446.72 1 in 90
New Mexico 10565 135 1.29 469 3 0.64 4.44 5038.56 223.67 1 in 198
Oklahoma 10516 478 4.76 369 1 0.27 3.51 2657.59 93.25 1 in 376
District of Columbia 10020 36 0.36 533 2 0.38 5.32 14197.68 755.23 1 in 70
Oregon 6572 0 0.00 188 0 0.00 2.86 1558.18 44.57 1 in 642
Puerto Rico 6525 62 0.96 149 2 1.36 2.28 2043.09 46.65 1 in 489
South Dakota 6297 72 1.16 81 0 0.00 1.29 7118.00 91.56 1 in 140
New Hampshire 5544 26 0.47 339 0 0.00 6.11 4077.34 249.32 1 in 245
Idaho 4006 2 0.05 89 0 0.00 2.22 2235.41 49.66 1 in 447
North Dakota 3288 37 1.14 77 1 1.32 2.34 4314.61 101.04 1 in 232
Maine 2957 19 0.65 102 0 0.00 3.45 2199.80 75.88 1 in 455
West Virginia 2533 33 1.32 89 1 1.14 3.51 1417.34 49.80 1 in 706
Wyoming 1197 18 1.53 20 0 0.00 1.67 2068.22 34.56 1 in 484
Vermont 1159 12 1.05 56 0 0.00 4.83 1857.40 89.75 1 in 538
Hawaii 814 25 3.17 17 0 0.00 2.09 574.91 12.01 1 in 1739
Alaska 752 11 1.48 12 0 0.00 1.60 1027.96 16.40 1 in 973
Montana 717 19 2.72 20 0 0.00 2.79 670.86 18.71 1 in 1491

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 3395319 387936 11.43 174534.57
California 3319256 178546 5.38 84005.80
New Jersey 1244967 169142 13.59 140164.42
Illinois 1361784 136762 10.04 107465.53
Texas 1526180 112944 7.40 52634.37
Massachusetts 773320 107061 13.84 111277.02
Florida 1599296 97291 6.08 74462.97
Pennsylvania 657745 85935 13.07 51378.34
Michigan 907426 67711 7.46 90862.02
Georgia 694384 64701 9.32 65400.43
Maryland 469031 64306 13.71 77581.18
Virginia 545676 57994 10.63 63930.03
Arizona 419744 52591 12.53 55121.46
North Carolina 745775 51390 6.89 71106.89
Louisiana 610812 49778 8.15 131391.50
Connecticut 395428 45755 11.57 110910.57
Ohio 643221 44808 6.97 55027.42
Indiana 411920 42423 10.30 61186.36
Tennessee 685629 35102 5.12 100338.29
Minnesota 504363 32920 6.53 89431.90
Colorado 278386 30524 10.96 48341.51
Alabama 344678 30021 8.71 70296.76
Washington 466099 28680 6.15 61208.87
Iowa 257152 25963 10.10 81504.37
Wisconsin 485153 24819 5.12 83324.77
South Carolina 302667 24661 8.15 58784.97
Mississippi 238715 20641 8.65 80209.36
Missouri 315157 18459 5.86 51350.01
Nebraska 154241 17812 11.55 79735.51
Utah 296395 17462 5.89 92451.30
Rhode Island 214589 16337 7.61 202564.56
Arkansas 242234 15561 6.42 80267.74
Kentucky 317281 13750 4.33 71017.06
Nevada 241691 13240 5.48 78467.13
Kansas 147649 12136 8.22 50680.77
Delaware 94974 10775 11.35 97532.87
New Mexico 293431 10565 3.60 139940.36
Oklahoma 282440 10516 3.72 71377.83
District of Columbia 79522 10020 12.60 112677.45
Oregon 202611 6572 3.24 48037.85
Puerto Rico 6525 6525 100.00 2043.09
South Dakota 73026 6297 8.62 82547.06
New Hampshire 105885 5544 5.24 77873.17
Idaho 72968 4006 5.49 40717.27
North Dakota 96173 3288 3.42 126201.02
Maine 80990 2957 3.65 60250.91
West Virginia 150589 2533 1.68 84262.23
Wyoming 27359 1197 4.38 47271.84
Vermont 57845 1159 2.00 92701.95
Hawaii 67860 814 1.20 47928.06
Alaska 88051 752 0.85 120363.07
Montana 70357 717 1.02 65829.39

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 132075 3870 3.02 65744 49.78 60147 6170 186 3.11 4.67
Tamil Nadu 62087 2710 4.56 34112 54.94 27181 794 37 4.89 1.28
Delhi 59746 0 0.00 33013 55.26 24558 2175 0 0.00 3.64
Gujarat 27317 580 2.17 19357 70.86 6296 1664 25 1.53 6.09
Uttar Pradesh 17731 596 3.48 10995 62.01 6186 550 21 3.97 3.10
Rajasthan 14997 306 2.08 11652 77.70 2996 349 8 2.35 2.33
West Bengal 14358 827 6.11 8687 60.50 5102 569 29 5.37 3.96
Madhya Pradesh 12078 354 3.02 9215 76.30 2342 521 20 3.99 4.31
Haryana 10709 371 3.59 5557 51.89 4991 161 11 7.33 1.50
Karnataka 9399 249 2.72 5729 60.95 3524 142 4 2.90 1.51
Andhra Pradesh 9372 443 4.96 4435 47.32 4826 111 5 4.72 1.18
State Unassigned 7832 -1295 -14.19 0 0.00 7832 0 0 NaN 0.00
Bihar 7808 206 2.71 5767 73.86 1989 52 1 1.96 0.67
Telangana 7802 730 10.32 3731 47.82 3861 210 7 3.45 2.69
Jammu and Kashmir 6088 132 2.22 3531 58.00 2475 82 0 0.00 1.35
Assam 5586 198 3.67 3522 63.05 2052 9 0 0.00 0.16
Odisha 5303 143 2.77 3863 72.85 1419 21 2 10.53 0.40
Punjab 4235 161 3.95 2825 66.71 1309 101 2 2.02 2.38
Kerala 3311 138 4.35 1747 52.76 1540 22 0 0.00 0.66
Uttarakhand 2401 77 3.31 1511 62.93 848 27 0 0.00 1.12
Chhattisgarh 2255 121 5.67 1421 63.02 823 11 0 0.00 0.49
Jharkhand 2089 65 3.21 1406 67.30 672 11 0 0.00 0.53
Tripura 1224 35 2.94 759 62.01 464 1 0 0.00 0.08
Manipur 898 121 15.57 250 27.84 648 0 0 NaN 0.00
Ladakh 847 10 1.19 136 16.06 710 1 0 0.00 0.12
Goa 818 0 0.00 135 16.50 682 1 1 Inf 0.12
Himachal Pradesh 716 54 8.16 422 58.94 274 7 0 0.00 0.98
Chandigarh 411 5 1.23 322 78.35 83 6 0 0.00 1.46
Puducherry 383 17 4.64 149 38.90 226 8 0 0.00 2.09
Nagaland 280 69 32.70 141 50.36 139 0 0 NaN 0.00
Mizoram 142 1 0.71 12 8.45 130 0 0 NaN 0.00
Arunachal Pradesh 139 4 2.96 21 15.11 118 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 102 10 10.87 27 26.47 75 0 0 NaN 0.00
Sikkim 78 8 11.43 21 26.92 57 0 0 NaN 0.00
Andaman and Nicobar Islands 48 0 0.00 37 77.08 11 0 0 NaN 0.00
Meghalaya 43 0 0.00 37 86.05 5 1 0 0.00 2.33
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 956959 92968 128 0.14 9.71 1260 53 13843 16570 17.82
Piemonte 390209 31241 26 0.08 8.01 356 19 2013 4051 12.97
Emilia-Romagna 453854 28221 23 0.08 6.22 131 12 1172 4231 14.99
Veneto 876915 19245 7 0.04 2.19 28 1 583 2002 10.40
Toscana 311877 10210 3 0.03 3.27 19 9 365 1095 10.72
Liguria 136647 9927 7 0.07 7.26 59 2 248 1549 15.60
Lazio 318264 8017 8 0.10 2.52 247 39 991 827 10.32
Marche 128759 6768 0 0.00 5.26 14 0 527 994 14.69
Campania 265122 4617 2 0.04 1.74 41 1 126 431 9.34
Puglia 161902 4527 2 0.04 2.80 32 1 222 540 11.93
P.A. Trento 111714 4463 5 0.11 4.00 0 0 53 466 10.44
Friuli Venezia Giulia 174652 3305 1 0.03 1.89 16 0 78 344 10.41
Abruzzo 98708 3281 0 0.00 3.32 50 3 403 459 13.99
Sicilia 191042 3072 2 0.07 1.61 20 6 141 280 9.11
P.A. Bolzano 79863 2622 4 0.15 3.28 4 1 75 292 11.14
Umbria 88509 1438 0 0.00 1.62 4 1 15 78 5.42
Sardegna 76086 1369 0 0.00 1.80 9 0 28 132 9.64
Valle d’Aosta 17392 1193 0 0.00 6.86 4 0 5 146 12.24
Calabria 87935 1173 6 0.51 1.33 17 0 36 97 8.27
Molise 20656 441 0 0.00 2.13 2 0 40 23 5.22
Basilicata 37305 401 0 0.00 1.07 1 0 8 27 6.73

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 54766 92 0.17 5417 9 0.17 9.89 6414.63 634.48 1 in 156
Ontario 35217 173 0.49 2657 7 0.26 7.54 2393.79 180.60 1 in 418
Alberta 7704 31 0.40 152 0 0.00 1.97 1745.69 34.44 1 in 573
British Columbia 2790 0 0.00 168 0 0.00 6.02 545.89 32.87 1 in 1832
Nova Scotia 1061 0 0.00 62 0 0.00 5.84 1085.47 63.43 1 in 921
Saskatchewan 746 20 2.75 13 0 0.00 1.74 631.31 11.00 1 in 1584
Manitoba 313 0 0.00 7 0 0.00 2.24 227.22 5.08 1 in 4401
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 164 0 0.00 2 0 0.00 1.22 210.26 2.56 1 in 4756
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1634 8 0.49
Henan 1276 22 1.72
Zhejiang 1269 1 0.08
Hong Kong 1131 5 0.44
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 830 9 1.08
Shandong 792 7 0.88
Shanghai 701 7 1.00
Jiangsu 653 0 0.00
Sichuan 589 3 0.51
Chongqing 582 6 1.03
Fujian 363 1 0.28
Hebei 346 6 1.73
Shaanxi 317 3 0.95
Guangxi 254 2 0.79
Inner Mongolia 238 1 0.42
Shanxi 198 0 0.00
Tianjin 197 3 1.52
Yunnan 185 2 1.08
Hainan 171 6 3.51
Jilin 155 2 1.29
Liaoning 154 2 1.30
Gansu 151 2 1.32
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 6967.85 366.65 1 in 144
Brazil 5184.13 241.84 1 in 193
Russia 4040.69 56.06 1 in 247
India 317.61 10.23 1 in 3148
United Kingdom 4602.69 642.94 1 in 217
Peru 7812.81 244.36 1 in 128
Spain 5278.01 607.01 1 in 189
Chile 13426.87 248.14 1 in 74
Italy 3943.44 572.65 1 in 254
Iran 2525.28 118.57 1 in 396
France 2940.86 442.50 1 in 340
Germany 2310.33 107.44 1 in 433
Turkey 2322.55 61.25 1 in 431
Pakistan 919.23 18.22 1 in 1088
Mexico 1397.41 168.92 1 in 716
Saudi Arabia 4784.82 38.46 1 in 209
Bangladesh NA NA 1 in NA
Canada 2742.17 225.65 1 in 365
South Africa 1715.48 34.03 1 in 583
Qatar 33106.86 37.14 1 in 30

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 212446 22278 10.49
Cook Illinois 87177 4404 5.05
Los Angeles California 83414 3121 3.74
Nassau New York 41479 2178 5.25
Suffolk New York 40972 1964 4.79
Westchester New York 34521 1414 4.10
Maricopa Arizona 30136 632 2.10
Miami-Dade Florida 25790 884 3.43
Philadelphia Pennsylvania 24841 1553 6.25
Middlesex Massachusetts 23574 1807 7.67
Wayne Michigan 22139 2687 12.14
Harris Texas 21053 325 1.54
Suffolk Massachusetts 19551 978 5.00
Hudson New Jersey 19280 1294 6.71
Bergen New Jersey 19010 1696 8.92
Essex New Jersey 18551 1760 9.49
Prince George’s Maryland 17874 659 3.69
Dallas Texas 16845 314 1.86
Passaic New Jersey 16769 1014 6.05
Middlesex New Jersey 16605 1101 6.63
Fairfield Connecticut 16475 1361 8.26
Union New Jersey 16322 1135 6.95
Essex Massachusetts 15829 1076 6.80
Montgomery Maryland 14079 720 5.11
Rockland New York 13504 667 4.94
Fairfax Virginia 13419 435 3.24
Riverside California 12778 410 3.21
Providence Rhode Island 12363 0 0.00
New Haven Connecticut 12185 1061 8.71
Worcester Massachusetts 12130 900 7.42
Oakland Michigan 11685 1077 9.22
Hartford Connecticut 11405 1350 11.84
Broward Florida 11155 373 3.34
Marion Indiana 10945 668 6.10
Hennepin Minnesota 10830 747 6.90
San Diego California 10794 338 3.13
Palm Beach Florida 10754 468 4.35
Orange New York 10648 473 4.44
Clark Nevada 10486 398 3.80
Orange California 10422 269 2.58
Milwaukee Wisconsin 10267 371 3.61
District of Columbia District of Columbia 10020 533 5.32
Ocean New Jersey 9425 847 8.99
Lake Illinois 9326 401 4.30
King Washington 9211 600 6.51
San Bernardino California 9156 233 2.54
Norfolk Massachusetts 8994 912 10.14
Tarrant Texas 8955 208 2.32
Monmouth New Jersey 8942 695 7.77
Salt Lake Utah 8878 102 1.15

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc